Association between Development Assistance for Health and Disease Burden: A Longitudinal Analysis on Official Development Assistance for HIV/AIDS, Tuberculosis, and Malaria in 2005–2017

Sumin Kim, Ermias Tadesse, Yan Jin () and Seungman Cha ()
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Sumin Kim: Department of Global Development and Entrepreneurship, Graduate School of Global Development and Entrepreneurship, Handong Global University, Pohang 37554, Korea
Ermias Tadesse: Department of Human Ecology and Technology, Graduate School of Advanced Convergence, Handong Global University, Pohang 37554, Korea
Yan Jin: Department of Microbiology, Dongguk University College of Medicine, Gyeongju 38066, Korea
Seungman Cha: Department of Global Development and Entrepreneurship, Graduate School of Global Development and Entrepreneurship, Handong Global University, Pohang 37554, Korea

IJERPH, 2022, vol. 19, issue 21, 1-12

Abstract: From the early stage of the millennium development goals campaign, HIV/AIDS, tuberculosis and malaria have received huge aid funds. With the datasets published by the Institute for Health Metrics and Evaluation, Organization for Economic Cooperation and Developments, and World Health Organization from 2005 to 2017, we analyzed the association between the total DAH or DAH per capita and the disease burden. We measured the total DAH or DAH per capita as the dependent variable, with six independent variables of disease burden for Disability Adjusted Life Year (DALY), number of infected people, number of deaths, prevalence, incidence, and mortality rate. For the trend in ODA targeting, the likelihood ratio test of the fixed effects models was used to assess any existence of slope changes in linear regression across the years. The total amount of DAH and DAH per capita was found positively related with every aspect of disease burden, with the regression coefficients increasing during 2005–2017. For instance, the slope of association between the DAH per capita and the disease burden of malaria became steeper over time (likelihood ratio, χ 2 = 26.14, p < 0.001). Although the selection criteria for the recipient country have been controversial, ODA targeting has been performed based on disease burden in this research.

Keywords: development assistance for health; HIV/AIDS; TB and malaria; disease burden (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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